Modeling the electrical resistivity of polymer composites with segregated structures.

Area of Science:

• Materials Science
• Nanotechnology
• Electrical Engineering

Background:

• Hybrid carbon nanotube composites are studied for enhanced properties.
• Secondary fillers influence composite electrical conductivity.
• The effect of secondary filler size on conductivity is not fully understood.

Purpose of the Study:

• To comprehensively understand the size effect of secondary particulate fillers on electrical conductivity in hybrid composites.
• To investigate the transition in the impact of excluded volume based on filler size.

Main Methods:

• Utilizing Voronoi geometry derived from Swiss cheese models.
• Applying percolation theory to analyze composite structures.
• Investigating the relationship between filler size and electrical conductivity.

Main Results:

• Micro-scale secondary fillers increase electrical conductivity due to excluded volume.
• Nano-scale secondary fillers exhibit decreased electrical conductivity.
• A transition in excluded volume impact was observed with varying filler sizes.

Conclusions:

• The dimension of secondary fillers is a critical factor determining electrical conductivity in hybrid composites.
• Theoretical modeling combined with geometric approaches can elucidate filler size effects.
• Understanding these size-dependent phenomena is key for designing advanced conductive materials.